most citedLarge Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning

1 citations · 2 across the 7 of their papers we have counts for

collaborators

8 papers

cs.AI2025

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models

Yujie Lin, Jiayao Ma, Qingguo Hu +4

Vision-Language Models (VLMs) inherit significant social biases from their training data, notably in gender representation. Current fairness interventions often adopt a difference-…

cs.LG2025★ 1 cited

Beyond Simple Fusion: Adaptive Gated Fusion for Robust Multimodal Sentiment Analysis

Han Wu, Yanming Sun, Yunhe Yang +1

Multimodal sentiment analysis (MSA) leverages information fusion from diverse modalities (e.g., text, audio, visual) to enhance sentiment prediction. However, simple fusion techniq…

cs.CL2025

PART: Progressive Alignment Representation Training for Multilingual Speech-To-Text with LLMs

Pei Zhang, Andong Chen, Xi Chen +3

Large language models (LLMs) have expanded from text to speech, giving rise to Speech Large Models (SLMs) that support recognition, translation, and synthesis. A key challenge is a…

cs.SD2025

Direct Simultaneous Translation Activation for Large Audio-Language Models

Pei Zhang, Yiming Wang, Jialong Tang +4

Simultaneous speech-to-text translation (Simul-S2TT) aims to translate speech into target text in real time, outputting translations while receiving source speech input, rather tha…

cs.CL2024★ 1 cited

Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning

Tianxiang Hu, Pei Zhang, Baosong Yang +3

Achieving consistent high-quality machine translation (MT) across diverse domains remains a significant challenge, primarily due to the limited and imbalanced parallel training dat…

cs.CL2024

Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation

Yiming Wang, Pei Zhang, Baosong Yang +2

LLM self-evaluation relies on the LLM's own ability to estimate response correctness, which can greatly improve its deployment reliability. In this research track, we propose the C…

cs.CV2024

AnyTrans: Translate AnyText in the Image with Large Scale Models

Zhipeng Qian, Pei Zhang, Baosong Yang +5

This paper introduces AnyTrans, an all-encompassing framework for the task-Translate AnyText in the Image (TATI), which includes multilingual text translation and text fusion withi…

cs.CL2024

Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning

Yiming Wang, Pei Zhang, Baosong Yang +3

Real-world data deviating from the independent and identically distributed (i.i.d.) assumption of in-distribution training data poses security threats to deep networks, thus advanc…